Zou2013 proposed to use bilingual word embeddings to detect similarities for word alignment.
This information is used as an additional parameter in a phrase-based machine translation system.
[1]} proposed to explore a metric funded on latent semantic analysis [2]} to extract semantic embeddings and measure the similarity between two sentences.
Finally, these word embeddings were used to enrich ROUGE, a metric for evaluating automatic summarization [3]}.
